Triple
T22742012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Píngdōng Xiàn |
E562437
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Fangshan Township |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Fangshan Township | Statement: [Píngdōng Xiàn, contains, Fangshan Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fangshan Township Context triple: [Píngdōng Xiàn, contains, Fangshan Township]
-
A.
Fangshan Township
chosen
Fangshan Township is a rural coastal township located in southern Taiwan’s Pingtung County, known for its agriculture and scenic seaside landscapes.
-
B.
Fangshan County
Fangshan County is a county-level administrative region under the jurisdiction of Lüliang City in Shanxi Province, China, known for its mountainous terrain and coal resources.
-
C.
Su’ao Township
Su’ao Township is a coastal town in northeastern Taiwan known for its fishing harbor, cold springs, and role as a transportation hub in Yilan County.
-
D.
Fangcun Subdistrict
Fangcun Subdistrict is an urban administrative subdivision in Guangzhou, China, serving as the central hub of government and services for Liwan District.
-
E.
Gaojing Town
Gaojing Town is an administrative town located within Baoshan District in the northern part of Shanghai, China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797400fc8190bec26726f434f787 |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:23 p.m.